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Learning, inflation expectations and optimal monetary policy

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  • Schaling, Eric

Abstract

In this paper we analyse disinflation policy in two environments. In the first, the central bank has perfect knowledge, in the sense that it understands and observes the process by which private sector inflation expectations are generated; in the second, the central bank has to learn the private sector inflation forecasting rule.With imperfect knowledge, results depend on the learning scheme that is employed.Here, the learning scheme we investigate is that of least-squares learning (recursive OLS) using the Kalman filter.A novel feature of a learning-based policy as against the central bank's disinflation policy under perfect knowledge is that the degree of monetary accommodation (the extent to which the central bank accommodates private sector inflation expectations) is no longer constant across the disinflation, but becomes state-dependent.This means that the central bank's behaviour changes during the disinflation as it collects more information.

Suggested Citation

  • Schaling, Eric, 2003. "Learning, inflation expectations and optimal monetary policy," Bank of Finland Research Discussion Papers 20/2003, Bank of Finland.
  • Handle: RePEc:zbw:bofrdp:rdp2003_020
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    References listed on IDEAS

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    1. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
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    8. Athanasios Orphanides & John Williams, 2004. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Chapters, in: The Inflation-Targeting Debate, National Bureau of Economic Research, Inc.
    9. George W. Evans, 2001. "Expectations in Macroeconomics. Adaptive versus Eductive Learning," Revue Économique, Programme National Persée, vol. 52(3), pages 573-582.
    10. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
    11. Marcet, Albert & Sargent, Thomas J, 1989. "Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1306-1322, December.
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    Cited by:

    1. Schaling, Eric & Eijffinger, Sylvester C. W. & Tesfaselassie, Mewael F., 2004. "Heterogenous information about the term structure, least-squares learning and optimal rules for inflation targeting," Bank of Finland Research Discussion Papers 23/2004, Bank of Finland.

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    More about this item

    Keywords

    learning; rational expectations; separation principle; Kalman filter; time-varying parameters; optimal control;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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